This paper describes the MARDY corpus annotation environment
developed for a collaboration
between political science and computational linguistics. The tool realizes the complete workflow necessary for annotating a large newspaper text collection with rich information about claims (demands) raised by politicians and other actors, including claim and actor spans, relations, and polarities. In addition to the annotation GUI, the tool supports the identification of relevant documents, text pre-processing, user management, integration of external knowledge bases, annotation comparison and merging, statistical analysis, and the incorporation of machine learning models as "pseudo-annotators".
%0 Conference Paper
%1 blessing19:_envir_relat_annot_polit_debat
%A Blessing, André
%A Blokker, Nico
%A Haunss, Sebastian
%A Kuhn, Jonas
%A Lapesa, Gabriella
%A Padó, Sebastian
%B Proceedings of ACL System Demonstrations
%C Florence, Italy
%D 2019
%K conference myown
%T An Environment for the Relational Annotation of Political Debates
%U https://aclweb.org/anthology/papers/P/P19/P19-3018/
%X This paper describes the MARDY corpus annotation environment
developed for a collaboration
between political science and computational linguistics. The tool realizes the complete workflow necessary for annotating a large newspaper text collection with rich information about claims (demands) raised by politicians and other actors, including claim and actor spans, relations, and polarities. In addition to the annotation GUI, the tool supports the identification of relevant documents, text pre-processing, user management, integration of external knowledge bases, annotation comparison and merging, statistical analysis, and the incorporation of machine learning models as "pseudo-annotators".
@inproceedings{blessing19:_envir_relat_annot_polit_debat,
abstract = {This paper describes the MARDY corpus annotation environment
developed for a collaboration
between political science and computational linguistics. The tool realizes the complete workflow necessary for annotating a large newspaper text collection with rich information about claims (demands) raised by politicians and other actors, including claim and actor spans, relations, and polarities. In addition to the annotation GUI, the tool supports the identification of relevant documents, text pre-processing, user management, integration of external knowledge bases, annotation comparison and merging, statistical analysis, and the incorporation of machine learning models as "pseudo-annotators".},
added-at = {2019-05-19T19:35:20.000+0200},
address = {Florence, Italy},
author = {Blessing, André and Blokker, Nico and Haunss, Sebastian and Kuhn, Jonas and Lapesa, Gabriella and Padó, Sebastian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2eaa29a7bb230baf086024e12440c9f2d/sp},
booktitle = {Proceedings of ACL System Demonstrations},
interhash = {b4b9d5748254001be40db3ae0df098f3},
intrahash = {eaa29a7bb230baf086024e12440c9f2d},
keywords = {conference myown},
timestamp = {2019-07-29T19:51:12.000+0200},
title = {An Environment for the Relational Annotation of Political Debates},
url = {https://aclweb.org/anthology/papers/P/P19/P19-3018/},
year = 2019
}
